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Australian State/Territory : TAS
Research Topic : Modelling
Australian State/Territory : SA
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  • Funded Activity

    Discovery Projects - Grant ID: DP110101663

    Funder
    Australian Research Council
    Funding Amount
    $600,000.00
    Summary
    Advanced matrix-analytic methods with applications. Over the last twenty-five years, matrix-analytic methods have proved to be very successful in formulating and analysing certain classes of stochastic models. Motivated by applications, this project will investigate more advanced matrix-analytic methods than have hitherto been studied.
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    Funded Activity

    Linkage Projects - Grant ID: LP0990211

    Funder
    Australian Research Council
    Funding Amount
    $321,000.00
    Summary
    A Roadmap for Greening Existing Australian Housing. The project will minimise the impact of the Greenhouse Pollution Reduction Scheme and anticipated rises in water costs on the householders. It will assist the consumers and the building industry in evaluating the environmental and economic costs and benefits of specific retrofitting actions for building envelope and major fixed appliances (thermal insulation, glazing, air infiltration, hot water, heating/cooling, lighting, low water flow and wa .... A Roadmap for Greening Existing Australian Housing. The project will minimise the impact of the Greenhouse Pollution Reduction Scheme and anticipated rises in water costs on the householders. It will assist the consumers and the building industry in evaluating the environmental and economic costs and benefits of specific retrofitting actions for building envelope and major fixed appliances (thermal insulation, glazing, air infiltration, hot water, heating/cooling, lighting, low water flow and water reuse appliances, and solar photovoltaic systems). In addition to assisting a burgeoning renovation industry, the project will enable accurate assessment of the impacts of the Green Loans Program and guide future national and local energy and water reduction policies.
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    Funded Activity

    Linkage Projects - Grant ID: LP0669303

    Funder
    Australian Research Council
    Funding Amount
    $265,000.00
    Summary
    Ecological-epidemiological models of feral swamp buffalo control in northern Australia. This research is locally, nationally and internationally significant because it 1) improves the capacity of the Northern Territory and its traditional aboriginal owners to manage together this prevalent species in an effort to minimise disturbance to native flora and fauna and to understand the long-term implications of continued proliferation, 2) provides a nationally relevant system to monitor and project t .... Ecological-epidemiological models of feral swamp buffalo control in northern Australia. This research is locally, nationally and internationally significant because it 1) improves the capacity of the Northern Territory and its traditional aboriginal owners to manage together this prevalent species in an effort to minimise disturbance to native flora and fauna and to understand the long-term implications of continued proliferation, 2) provides a nationally relevant system to monitor and project the spread of disease through feral animal populations in Australia, and 3) combines quantitative data and robust analytical tools that can be used as a template for solving many broad-scale feral animal problems around the world.
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    Active Funded Activity

    Linkage Projects - Grant ID: LP210301239

    Funder
    Australian Research Council
    Funding Amount
    $537,675.00
    Summary
    Three-dimensional Bayesian Modelling of Geological and Geophysical data. The project aims to develop technologies enabling rapid informed decision-making related to the management of natural resources, including critical metals, copper and water. This new technology will support a greener future, securing our energy future, our access to clean water and reduce the mining footprint. Expected outcomes include an enhanced capability in interoperable, integrated three-dimensional geological and geop .... Three-dimensional Bayesian Modelling of Geological and Geophysical data. The project aims to develop technologies enabling rapid informed decision-making related to the management of natural resources, including critical metals, copper and water. This new technology will support a greener future, securing our energy future, our access to clean water and reduce the mining footprint. Expected outcomes include an enhanced capability in interoperable, integrated three-dimensional geological and geophysical modelling in order to predictively characterise sub-surface geology. The outcome will be an open-source forecasting dashboard enabling decision making while considering underlying risk related to resource extractions and management with significant benefits to the Australian society (lower emissions, clean water).
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    Showing 1-4 of 4 Funded Activites

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